Instructions to use aprlkhrnss/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aprlkhrnss/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="aprlkhrnss/image_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("aprlkhrnss/image_classification") model = AutoModelForImageClassification.from_pretrained("aprlkhrnss/image_classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
7658f26
1
Parent(s): 9ff58e8
Training in progress, epoch 5
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343287149
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:533dd64bec64d86deb87e825261254e8c83f7b912492b14cee3c7403b45f8b6f
|
| 3 |
size 343287149
|